Episode summary
He Built The Revenue Engines for Google, Facebook & Square
Invest Like the Best
· · 1 hr 17 min · Hosts: Patrick O'Shaughnessy · Guests: Gokul Rajaram
Summary
Gokul Rajaram argues that AI is fundamentally changing how products get built: product managers, designers, and engineers are converging around hands-on code, rapid prototyping, and continuous evaluation. He says the old model of clearly separated roles is giving way to a bottoms-up process where PMs stay close to the code, own the “why,” and judge whether AI-generated output is actually worth shipping.
He also makes a broader case that judgment is the most future-proof skill in an era of “AI slop” and non-deterministic software. As models get better, he says durable AI products will not come from generic wrappers around foundation models. They will require scarce assets, control points, essential workflows, network effects, hardware, or migration paths that let a company replace an incumbent system of record rather than sit on top of it.
Rajaram then applies that lens to software defensibility and advertising. He says seat-based software like Zendesk is exposed, while systems tied to durable data and mission-critical workflows, like NetSuite or payments businesses, are safer. In ads, he argues there are only three real models: own a coveted audience, drive outcomes, or be the exclusive partner for a major advertiser; everything else gets squeezed by platform owners.
He closes with lessons from Google, Meta, and Square: great leaders have a superpower aligned with the company’s needs, strong communication habits, and a ruthless editorial instinct that strips products down to what truly matters.
Key takeaways
- Rajaram says judgment is the key future-proof skill because AI makes it easy to generate code but hard to decide what should be built and shipped.
- He says PMs are becoming hands-on evaluators who work with engineers and researchers on code, prototypes, and evals, not just specs.
- Rajaram warns that seat-based software with low half-life data, like Zendesk, is more exposed than systems of record tied to durable workflows and data.
- He says durable AI companies need scarce assets, control points, network effects, hardware, or a migration path that lets them replace the incumbent system.
- In ads, he says the only durable models are owning coveted users, driving measurable outcomes, or being the exclusive partner for major demand.
- Rajaram says the best leaders are editors: they minimize steps, cut features, and focus teams on the few things that truly drive outcomes.
Notable quotes
“The one thing I think that's going to be truly future proof is judgment”
“Product managers articulated what to build, designers designed it and engineers built it”
“The one thing I think that's going to be truly future proof is judgment”
“There are three fundamental ways to succeed in the ads business. Three and only three”
How the episode opens
The one thing I think that's going to be truly future proof is judgment. Why? Because you have the big challenge of AI slop.
Every product leader I've talked to is extremely worried that because you have these engines running rampant, they're just going to produce lots of code. In an era when you can do everything, the question is which of these things matter and you should truly do. I thought an interesting place to start would be the changing nature of how people are building products.
The biggest story by far in technology seems to be cla or claude co-work as well. The ease with which both technical and non-technical people are able to build something that they can imagine. It seems to have been just a complete explosion in their ability to do so.
You've built a million things. You've invested in 700 companies watching people build things. You're about as prolific as they come as a product person.
Maybe just give us your sort of state of the union of how the world feels to you in terms of technologists building products and how fast that's changing.
What was interesting about product development is uh that 10 years ago or even 5 years ago there were very clearly defined roles. Product managers articulated what to build, designers designed it and engineers built it. Over the last few weeks, over the last few months, I've been talking to many companies, but over the last two months in particular, December and January, December 25 and Jan 26, it's become very clear that something has fundamentally changed.
And what that thing is is the notion of a long horizon, a longunning agent. I've experienced it myself about 6 months ago. I tried to use clot code in the early days to build something.
From the episode’s captions: roughly the first two minutes, lightly cleaned. Keep watching on YouTube →
Topics
- ai product building
- agentic software
- judgment and human skills
- durable software companies
- building ad businesses
Companies and tickers mentioned
- GOOGL
- GOOG
- META
- DASH
- Square
- DoorDash
- Claude
Watch the episode
Watch “He Built The Revenue Engines for Google, Facebook & Square” on YouTube
Summary, takeaways and quote selection by Octagon. Quotes are short excerpts; the full conversation is in the episode.
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